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Classify Documents in HCP according to given information

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Dear community,

 

I am pretty new to Hana and I want to leverage its capabilities for some sort of Text Mining.


I have two tables, one with keywords linked to a class (Table "SpecialWords") and another table with a text (Table "Documents").

 

What I am thinking of is something like this.

 

Table SpecialWords

SPECIALWORDS.png

 

Table Documents

Texteee.png

 

 

What I now want to create is a table which indicates what kind of text is stored in table "Documents" (e.g. Financial or IT). So add a Column to Documents which says "Financial" or "IT".


I already tried to use the AFM with the Naive Bayes Classifier but couldn't get any result out of it.

 

Does anyone had a similar problem and managed to solve it or has a recommendation for a good way to solve such problems?

 

I've also heard in an OpenSAP-course about Text Mining and the KNN-Classifier but couldn't find any technical approach to applying it.

 

 

Thanks in advance guys!


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